Multiuser transmit beamforming for MIMO uplink with individual SINR targets

Authors:
Songnan Xi;Michael D. Zoltowski
Affiliations:
School of Electrical and Computer Engineering, Purdue University, USA;School of Electrical and Computer Engineering, Purdue University, USA
Venue:
ICASSP '09 Proceedings of the 2009 IEEE International Conference on Acoustics, Speech and Signal Processing
Year:
2009

Citing 0
Cited 1

Weighted sum rate maximization in the MIMO MAC with linear transceivers: algorithmic solutions

Asilomar'09 Proceedings of the 43rd Asilomar conference on Signals, systems and computers

Quantified Score

Hi-index	0.01

Visualization

Abstract

For multiuser multiple-input multiple-output (MIMO) uplink communications where the signal-to-interference-plus-noise ratio (SINR) of the k-th user, denoted as SINRk, is expected to achieve the target value γk, we first consider the ideal scenario where multiuser channel matrices are perfectly known to every user and we solve the problem of maximizing mink(SINRk/γk) over all possible beamformers under individual transmit power constraints via alternating optimization strategies and the generalized eigenvalue problem (GEVP) programming. Then, we study a more realistic situation where only a few number of bits are allowed to feed back to users. We propose to integrate the genetic algorithm into the Lloyd's vector quantization method to design the optimum codebook in terms of maximizing E(mink(SINRk/γk)) with expectation taken with respect to fading channels.